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Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices

机译:心脏MRI得出的心外膜脂肪图可协助具有植入装置的受试者进行VT消融手术

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Cardiac electroanatomical mapping (EAM) to locate myocardial scar substrate during ventricular tachycardia (VT) ablation therapy is currently faced with a major limitation. The presence of epicardial fat leads to false-positive low-voltage maps that may interpreted as myocardial scar. Pre-procedural cardiac magnetic resonance (CMR) imaging can produce images of the heart in which both cardiac geometry and epicardial fat are particularly conspicuous. The goal of the present work is to build CMR based geometric models composed of a shell of the cardiac anatomy and epicardial fat. Herein, we first defined a black-blood imaging protocol that is feasible in patients with implanted devices. Then a semi-automated image segmentation method was developed and applied to extract ventricular surface anatomy and epicardial fat maps from which three-dimensional surfaces were built. The results suggest that deriving maps of epicardial fat from MRI data is feasible, accurate when compared to expert observers, and suitable for integration in a clinical catheter-based ablation procedure.
机译:当前,在心室心动过速(VT)消融治疗过程中定位心肌瘢痕基质的心脏电解剖标测(EAM)面临主要限制。心外膜脂肪的存在会导致假阳性的低电压图,这可能解释为心肌疤痕。术前心脏磁共振(CMR)成像可产生心脏的图像,其中心脏的几何形状和心外膜脂肪特别明显。本工作的目标是建立基于CMR的几何模型,该模型由心脏解剖结构和心外膜脂肪组成。在本文中,我们首先定义了一种在植入设备的患者中可行的黑血成像方案。然后,开发了一种半自动图像分割方法,并将其应用于提取心室表面解剖结构和心外膜脂肪图,并由此构建了三维表面。结果表明,与专家观察员相比,从MRI数据中得出心外膜脂肪的图是可行的,准确的,并且适合集成在基于临床导管的消融手术中。

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